# faqguru/faqguru

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5,064 stars · 548 forks · MIT

## Links

- GitHub: https://github.com/FAQGURU/FAQGURU
- awesome-repositories: https://awesome-repositories.com/repository/faqguru-faqguru.md

## Topics

`angularjs` `asp` `cpp` `csharp` `css` `git` `golang` `html5` `interview-questions` `java` `javascript` `mongodb` `mvc` `nodejs` `react` `redux` `ruby` `sql` `vue` `webpack`

## Description

FAQGURU is a technical interview question bank and coding interview study guide. It serves as a software engineering career resource and programming language reference, providing a curated collection of common technical questions and concise answers.

The project functions as a markdown knowledge base that pairs theoretical explanations with practical implementation examples across various programming languages and frameworks. These resources focus on algorithmic and architectural patterns used during technical hiring processes.

Content is organized via a nested directory hierarchy and a categorized content hierarchy, allowing for logical navigation between different languages. The system utilizes a static file distribution model, storing information as a collection of flat files.

## Tags

### Education & Learning Resources

- [Technical Interview Questions](https://awesome-repositories.com/f/education-learning-resources/interview-preparation-guides/technical-interview-questions.md) — Provides a curated collection of common technical interview questions and concise answers for job preparation. ([source](https://github.com/faqguru/faqguru#readme))
- [Coding Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/coding-interview-preparation.md) — Offers study materials and programming challenges designed to prepare developers for technical screenings.
- [Conceptual-to-Code Mappings](https://awesome-repositories.com/f/education-learning-resources/conceptual-to-code-mappings.md) — Pairs theoretical explanations with concrete source code implementations to bridge conceptual and applied knowledge.
- [Code Examples](https://awesome-repositories.com/f/education-learning-resources/educational-resources/reference-and-media/books-docs-reference/code-examples.md) — Includes practical code snippets and functional examples demonstrating software design patterns and technical solutions. ([source](https://github.com/faqguru/faqguru#readme))
- [Interview Question Banks](https://awesome-repositories.com/f/education-learning-resources/learning-guides/technical-capability-guides/interview-question-banks.md) — Provides a curated bank of technical questions used to evaluate engineering proficiency during hiring processes.
- [Interview Study Guides](https://awesome-repositories.com/f/education-learning-resources/machine-learning-guides/interview-study-guides.md) — Serves as a curated study guide with practice problems tailored for technical job interviews.
- [Technical Interview Preparation](https://awesome-repositories.com/f/education-learning-resources/technical-interview-preparation.md) — Provides structured resources for preparing for technical assessments and coding interviews.
- [Career Preparation Resources](https://awesome-repositories.com/f/education-learning-resources/career-preparation-resources.md) — Provides educational materials and guides focused on technical interview preparation and career readiness.
- [Programming Language References](https://awesome-repositories.com/f/education-learning-resources/developer-documentation-references/programming-language-references.md) — Includes language-specific references detailing syntax and algorithmic performance for technical interviews.
- [Technical Interview Prep](https://awesome-repositories.com/f/education-learning-resources/technical-interview-prep.md) — Provides resources covering common technical interview questions and scenario-based assessments for career preparation.

### Content Management & Publishing

- [Markdown-Based Knowledge Bases](https://awesome-repositories.com/f/content-management-publishing/content-management-systems/content-architecture-modeling/markdown-ecosystem-tools/markdown-based-knowledge-bases.md) — Provides a version-controlled knowledge repository built using plain-text markdown documentation.